Optimizing traffic management and V2X communication for efficient mining operations

Abstract

This research explores optimization of traffic management and Vehicle-to-Everything (V2X) communication for efficient mining operations. The study introduces a comprehensive framework leveraging V2X technology, D* Lite pathfinding algorithms, and intelligent decision-making protocols to enhance safety and efficiency of autonomous mining equipment. The proposed system implements a four-layer architecture comprising perception, communication, decision-making, and control layers, operating at 10 Hz for real-time coordination. Through MATLAB-based simulations involving 20 autonomous vehicles over 1,000 time steps, the system demonstrates significant performance improvements: 27.5% reduction in travel time, 42.7% decrease in collision risk, and 86.3% enhancement in traffic flow efficiency compared to baseline systems. Additional benefits include 32.5% improvement in system stability, 23.2% increase in fuel efficiency, and 15.7% reduction in energy consumption. The mathematical models incorporating multi-objective optimization and graph-based representations validate the practical applicability and scalability for modern autonomous mining operations.